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Data Science and Complex NetworksReal Case Studies with Python$
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Guido Caldarelli and Alessandro Chessa

Print publication date: 2016

Print ISBN-13: 9780199639601

Published to Oxford Scholarship Online: December 2016

DOI: 10.1093/acprof:oso/9780199639601.001.0001

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Food Webs

Food Webs

Chapter:
(p.4) 1 Food Webs
Source:
Data Science and Complex Networks
Author(s):

Guido Caldarelli

Alessandro Chessa

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199639601.003.0002

Networks perfectly capture the complexity of ecosystems. Food webs are the result of multiple predation relationships between species living in the same habitat. Through complex network tools it is possible to uncover the inner hierarchical structure and the robustness of these natural systems. Food webs are also simple systems and this lets us introduce basic network measures like the degree, degree sequence, clustering coefficient, the distance in a graph, and its bowtie structure. These measures will be the basis for the computation of typical characteristics of food webs such as connectance, classes, and trophic species.

Keywords:   food web, degree, clustering, class, trophic species

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